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ObjectiveTo examine changes in prevalence of obesity and target health behaviors (fruit, vegetable, and beverage consumption; physical activity; screen time; sleep duration) among students from communities that participated in the Massachusetts Childhood Obesity Research Demonstration (MA-CORD) project compared to controls.MethodsMA-CORD was implemented in two low-income communities. School-level prevalence of obesity among students in first, fourth, and seventh grades was calculated for the intervention communities and nine matched control communities pre and post intervention. Fourth- and seventh-grade students' self-reported health behaviors were measured in intervention communities at baseline and post intervention.ResultsAmong seventh-graders (the student group with greatest intervention exposure), a statistically significant decrease in prevalence of obesity from baseline to post intervention in Community 2 (-2.68%, P = 0.049) and a similar but nonsignificant decrease in Community 1 (-2.24%, P = 0.099) was observed. Fourth- and seventh-grade students in both communities were more likely to meet behavioral targets post intervention for sugar-sweetened beverages (both communities: P

IntroductionAlthough evidence-based interventions to prevent childhood obesity in school settings exist, few studies have identified factors that enhance school districts' capacity to undertake such efforts. We describe the implementation of a school-based intervention using classroom lessons based on existing "Eat Well and Keep Moving" and "Planet Health" behavior change interventions and schoolwide activities to target 5,144 children in 4th through 7th grade in 2 low-income school districts.MethodsThe intervention was part of the Massachusetts Childhood Obesity Research Demonstration (MA-CORD) project, a multisector community-based intervention implemented from 2012 through 2014. Using mixed methods, we operationalized key implementation outcomes, including acceptability, adoption, appropriateness, feasibility, implementation fidelity, perceived implementation cost, reach, and sustainability.ResultsMA-CORD was adopted in 2 school districts that were facing resource limitations and competing priorities. Although strong leadership support existed in both communities at baseline, one district's staff reported less schoolwide readiness and commitment. Consequently, fewer teachers reported engaging in training, teaching lessons, or planning to sustain the lessons after MA-CORD. Interviews showed that principal and superintendent turnover, statewide testing, and teacher burnout limited implementation; passionate wellness champions in schools appeared to offset implementation barriers.ConclusionFuture interventions should assess adoption readiness at both leadership and staff levels, offer curriculum training sessions during school hours, use school nurses or health teachers as wellness champions to support teachers, and offer incentives such as staff stipends or play equipment to encourage school participation and sustained intervention activities.

ObjectiveThis study examines the extent to which insufficient sleep is associated with diet quality in students taking part in the Massachusetts Childhood Obesity Research Demonstration Project.MethodsData were collected in Fall 2012 for all 4th and 7th grade children enrolled in public schools in two Massachusetts communities. During annual body mass index (BMI) screening, students completed a survey that assessed diet, physical activity, screen time, and sleep. Of the 2456 enrolled students, 1870 (76%) had complete survey data. Generalized estimating equations were used to examine associations between sleep duration and dietary outcomes (vegetables, fruits, 100% juice, juice drinks, soda, sugar-sweetened beverages and water), accounting for clustering by school. Models were adjusted for community, grade, race/ethnicity, gender, television in the bedroom, screen time, and physical activity.ResultsIn adjusted models, students who reported sleeping < 10 hours/day consumed soda more frequently (β = 0.11, 95% CI: 0.03, 0.20) and vegetables less frequently (β = -0.09, 95% CI: -0.18, -0.01) compared with students who reported ≥ 10 hours/day. No significant associations were observed between sleep duration and fruits, 100% juice, juice drinks or water.ConclusionsIn this population, insufficient sleep duration was associated with more frequent soda and less frequent vegetable consumption. Longitudinal research is needed to further examine these relationships.

Background and objectiveAssociations of inadequate sleep with numerous health outcomes among youth necessitate identifying its modifiable determinants. Television (TV) has been associated with sleep curtailment, but little is known about small screens (eg, smartphones), which can be used in bed and emit notifications. Therefore, we examined associations of different screens in sleep environments with sleep duration and perceived insufficient rest or sleep.MethodsParticipants included 2048 fourth- and seventh-graders participating in the Massachusetts Childhood Obesity Research Demonstration Study in 2012 to 2013. Using linear and log binomial regression, we examined cross-sectional associations of small screens and TVs in sleep environments and screen time with weekday sleep duration and perceived insufficient rest or sleep in the past week.ResultsChildren who slept near a small screen (compared with never) reported 20.6 fewer minutes of sleep (95% confidence interval [CI], -29.7 to -11.4) and had a higher prevalence of perceived insufficient rest or sleep (prevalence ratio, 1.39; 95% CI, 1.21 to 1.60). Children who slept in a room with a TV (compared with no TV) reported 18.0 fewer minutes of sleep (95% CI, -27.9 to -8.1). TV or DVD viewing and video or computer game playing were associated with both sleep outcomes (P < .01). Some associations were stronger among Hispanic, non-Hispanic black, and older children (P < .05 for heterogeneity).ConclusionsSleeping near a small screen, sleeping with a TV in the room, and more screen time were associated with shorter sleep durations. Presence of a small screen, but not a TV, in the sleep environment and screen time were associated with perceived insufficient rest or sleep. These findings caution against unrestricted screen access in children's bedrooms.

BackgroundThe Massachusetts Childhood Obesity Research Demonstration (MA-CORD) project is a 2-year, multilevel, multisector community intervention to prevent and control obesity among children 2-12 years of age from two predominantly low-income communities in Massachusetts. MA-CORD includes evidence-based interventions in multiple sectors, including community health centers, early care and education centers, schools, afterschool programs, the Special Supplemental Nutrition Program for Women, Infants and Children, and the broader community. Currently, implementation of MA-CORD is complete and the final year of data collection is in progress. Here, the MA-CORD evaluation plan is described and baseline data are presented.Methods/designThe impact of MA-CORD on children's BMI, lifestyle behaviors, obesity-related care, and quality of life will be assessed using sector-specific, pre/post, time-series, and quasi-experimental designs. Change in the primary outcomes will be compared for intervention and comparison communities. Additionally, change in mean BMI and obesity prevalence in intervention school districts will be compared to similar districts throughout the state.ResultsAt baseline in 2012, approximately 16% of preschool-aged and 25% of school-aged children were obese. Moreover, 15-40% of children consumed no vegetables on the previous day, 25-75% drank a sugar-sweetened beverage on the previous day, up to 87% had insufficient physical activity, 50-75% had a television in the room where they slept, and 50-80% obtained insufficient sleep.ConclusionsThere is ample room for improvement in BMI and health behaviors in children in MA-CORD communities. If successful, MA-CORD may serve as a model for multilevel, multisector approaches to childhood obesity prevention and control.

Objective: Online grocery shopping could improve access to healthy food, but it may not be equally accessible to all populations - especially those at higher risk for food insecurity. The current study aimed to compare the socio-demographic characteristics of families who ordered groceries online v. those who only shopped in-store.Design: We analysed enrollment survey and 44 weeks of individually linked grocery transaction data. We used univariate χ2 and t-tests and logistic regression to assess differences in socio-demographic characteristics between households that only shopped in-store and those that shopped online with curbside pickup (online only or online and in-store).Setting: Two Maine supermarkets.Participants: 863 parents or caregivers of children under 18 years old enrolled in two fruit and vegetable incentive trials.Results: Participants had a total of 32 757 transactions. In univariate assessments, online shoppers had higher incomes (P < 0 0001), were less likely to participate in Special Supplemental Nutrition Program for Women, Infants, and Children or Supplemental Nutrition Assistance Program (SNAP; P < 0 0001) and were more likely to be female (P = 0·04). Most online shoppers were 30-39 years old, and few were 50 years or older (P = 0·003). After controlling for age, gender, race/ethnicity, number of children, number of adults, income and SNAP participation, female primary shoppers (OR = 2·75, P = 0·003), number of children (OR = 1·27, P = 0·04) and income (OR = 3·91 for 186-300 % federal poverty line (FPL) and OR = 6·92 for >300 % FPL, P < 0·0001) were significantly associated with likelihood of shopping online.Conclusions: In the current study of Maine families, low-income shoppers were significantly less likely to utilise online grocery ordering with curbside pickup. Future studies could focus on elucidating barriers and developing strategies to improve access. [ABSTRACT FROM AUTHOR]

Introduction: The Supplemental Nutrition Assistance Program provides financial assistance for food and beverage purchases to approximately 1 in 7 Americans, with benefits distributed once monthly. Most Supplemental Nutrition Assistance Program benefits are spent early in the month, leading to decreased caloric intake later in the month. The effects of this early benefit depletion on the types of foods and beverages purchased over the course of the month is unclear.Methods: Using individually tracked sales data from 950 participants enrolled in 2 supermarket-based RCTs in Maine (October 2015-April 2016 and October 2016-June 2017), purchases of selected food categories by Supplemental Nutrition Assistance Program participants (n=248) versus nonparticipants (n=702) in the first 2 weeks compared with the last 2 weeks of the Supplemental Nutrition Assistance Program benefit month were examined. Analyses were completed in 2019.Results: For Supplemental Nutrition Assistance Program participants, adjusted mean food spending decreased 37% from the first 2 weeks to the last 2 weeks of the Supplemental Nutrition Assistance Program benefit month (p<0.0001) compared with a 3% decrease (p=0.02) for nonparticipants. The decline in spending by Supplemental Nutrition Assistance Program participants occurred in all examined categories: vegetables (-25%), fruits (-27%), sugar-sweetened beverages (-30%), red meat (-37%), convenience foods (-40%), and poultry (-48%). Difference-in-difference estimators comparing Supplemental Nutrition Assistance Program participants with nonparticipants were statistically significant (p<0.05) for all examined categories.Conclusions: In the second half of the Supplemental Nutrition Assistance Program benefit month, individuals reduced purchases of all examined categories. More research is needed to understand the impact of these fluctuations in spending patterns on the dietary quality of Supplemental Nutrition Assistance Program participants. [ABSTRACT FROM AUTHOR]

Objective: The objective of the present study was to test the effectiveness of financial incentives and traffic-light labels to reduce purchases of sugar-sweetened beverages in a community supermarket. Design: In this randomized controlled trial, after a 2-month baseline period (February–March 2014), in-store traffic-light labels were posted to indicate healthy (green), less healthy (yellow) or unhealthy (red) beverages. During the subsequent five months (April–August 2014), participants in the intervention arm were eligible to earn a $US 25 in-store gift card each month they refrained from purchasing red-labelled beverages. Setting: Urban supermarket in Chelsea, MA, USA, a low-income Latino community. Subjects: Participants were customers of this supermarket who had at least one child living at home. A total of 148 customers (n 77 in the intervention group and n 71 in the control group) were included in the final analyses. Results: Outcomes were monthly in-store purchases tracked using a store loyalty card and self-reported consumption of red-labelled beverages. Compared with control participants, the proportion of intervention participants who purchased any red-labelled beverages decreased by 9 % more per month (P=0·002). More intervention than control participants reduced their consumption of red-labelled beverages (−23 % v. −2 % for consuming ≥1 red beverage/week, P=0·01). Conclusions: Overall, financial incentives paired with in-store traffic-light labels modestly reduced purchase and consumption of sugar-sweetened beverages by customers of a community supermarket. [ABSTRACT FROM AUTHOR]

An editorial is presented which addresses the support for the U.S. Supplemental Nutrition Assistance Program (SNAP) among adults in America in 2018, and it mentions public opinion surveys and support for SNAP-related policy modifications. Restrictive policies involving sugary drinks and candy are examined, along with incentivizing policies involving fruits and vegetables. The timing and frequency of SNAP benefits are also addressed.

Objective: Examine changes in prevalence of obesity and target health behaviors (fruit, vegetable, and beverage consumption; physical activity; screen time; sleep duration) among students from communities that participated in the Massachusetts Childhood Obesity Research Demonstration Project (MA-CORD) compared to controls. Methods: MA-CORD was implemented in two low-income communities. School-level prevalence of obesity among students in grades 1, 4 and 7 was calculated for the intervention communities and nine matched control communities pre- and post-intervention. Fourth and 7th grade students’ self-reported health behaviors were measured in intervention communities at baseline and post-intervention. Results: Among 7th graders (the student group with greatest intervention exposure), we observed a statistically significant decrease in prevalence of obesity from baseline to post-intervention in Community 2 (−2.68 percent, p=0.049) and a similar but non-significant decrease in Community 1 (−2.24 percent, p=0.099). Fourth and 7th grade students in both communities were more likely to meet behavioral targets post-intervention for sugar-sweetened beverages (both communities: p<0.0001) and water (Community 1: p<0.01; Community 2: p=0.04), and in Community 2 for screen time (p<0.01). Conclusions: This multisector intervention was associated with a modest reduction in obesity prevalence among 7th graders in one community compared to controls, along with improvements in behavioral targets.

Introduction: Many low-income U.S. households experience food security changes over time, but little is known about how labor market transitions contribute to these changes. This paper uses longitudinal survey data collected from 2017 to 2020 to explore how changes in employment and earnings are associated with changes in food security status.Methods: Analyses were conducted in the spring of 2022 and include nearly 3,500 individuals who participated in the Supplemental Nutrition Assistance Program Employment and Training program. Individuals responded to surveys at 2 points in time-12 months and 36 months after study enrollment-which asked for employment, earnings, and food security information. Logistic regression models were used to estimate the associations between food security transitions and employment and earnings changes. Analyses also were conducted to assess whether these associations differed on the basis of individuals' previous employment and earnings volatility.Results: Individuals who experienced a job loss 2 months before the second survey interview had higher odds of becoming food insecure (OR=2.67; 95% CI=1.24, 5.75); those who experienced an earnings reduction in the month before the interview also had higher odds of becoming food insecure (OR=1.89; 95% CI=1.03, 3.47). The association between experiencing a job loss and becoming food insecure was greater among those who had experienced past earnings changes. There were no statistically significant associations between changes in earnings and employment and the likelihood of becoming food secure.Conclusions: Employment losses and earnings reductions are associated with becoming food insecure among Supplemental Nutrition Assistance Program Employment and Training participants. Providing additional support to individuals who experience these losses and reductions may reduce their risk of becoming food insecure. [ABSTRACT FROM AUTHOR]

Introduction: Although one in seven Americans receives Supplemental Nutrition Assistance Program (SNAP) benefits, little is known about how these benefits for food are spent because individual-level sales data are not publicly available. The purpose of this study is to compare transactions made with and without SNAP benefits at a large regional supermarket chain.Methods: Sales data were obtained from a large supermarket chain in the Northeastern U.S. for a period of 2 years (April 2012-April 2014). Multivariate multiple regression models were used to quantify relative differences in dollars spent on 31 predefined SNAP-eligible food categories. Analyses were completed in 2016.Results: Transactions with SNAP benefit use included higher spending on less healthful food categories, including sugar-sweetened beverages ($1.08), red meat ($1.55), and convenience foods ($1.34), and lower spending on more healthful food categories, such as fruits (-$1.51), vegetables (-$1.35), and poultry (-$1.25) compared to transactions without SNAP benefit use.Conclusions: These findings provide objective data to compare purchases made with and without SNAP benefits. Next steps should be to test proposed SNAP modifications to determine whether they would have the intended effect of promoting healthier purchasing patterns among SNAP beneficiaries. [ABSTRACT FROM AUTHOR]

Introduction: The 2010 Affordable Care Act required chain retail food establishments, including supermarkets, to post calorie information for prepared (i.e., ready to eat) foods. Implementation of calorie labeling could spur companies to reduce the calorie content of prepared foods, but few studies have explored this. This study evaluates the changes in the calorie content of prepared foods at 2 large U.S. supermarket chains after they implemented calorie labels in April 2017.Methods: The chains (≈1,200 stores) provided data on the calorie content and labeling status of all items sold between July 2015 and January 2019. In 2021, analyses used a difference-in-differences approach to examine the changes in the calorie content of prepared bakery, entree, and deli items introduced before calorie labeling to those introduced after the labeling compared with changes in similar foods not subject to the new labeling requirement. Primary analyses examined continuously available items; exploratory analyses examined items newly introduced to the marketplace.Results: Relative to changes in comparison foods not subject to the labeling requirement, continuously available prepared bakery items decreased by 7.7 calories per item after calorie labels were implemented (95% CI= -12.9, -2.5, p=0.004, ≈0.5% reduction). In exploratory analyses, prepared bakery items introduced after calorie labeling contained 440 fewer calories per item than those introduced before calorie labeling (95% CI= -773.9, -106.1, p=0.01, ≈27% reduction), driven by reductions in product size. No changes were observed in the calorie content of continuously available or newly introduced prepared entrees or deli items.Conclusions: Implementing calorie labels could encourage product reformulation among some types of prepared supermarket foods. These supply-side changes could lead to reductions in caloric intake. [ABSTRACT FROM AUTHOR]